... and Gross Rock Volume (GRV) estimation. The latest proprietary seismic processing techniques improved the gathers flatness and produced clearer seismic images for structure interpretation. For example, the GWC can now be interpreted in most areas with higher confidence when compared to the legacy data...

... injection totalenergies geologist reservoir characterization international blanchard joao nunes jorge tom blanchard energy 10 pierre thore threshold exploration geophysicist applied geoscience estimation julie granel 4D Seismic-Guided Injected Volume Estimation: a pseudo-skeletonization...

... We developed a method to predict ocean-water temperature and salinity from water-column seismic reflections. In our approach, we first use a prestack waveform inversion with genetic algorithm (GA) optimization and estimate the oceanwater sound-speed from seismic data. Then, from the UNESCO...

... geophysics upstream oil & gas reservoir characterization adcig geologist international wavefield exploration geophysicist poynting vector artificial intelligence expanded abstract inverse american association migration applied geoscience artifact formulation seg whitmore estimation...

... with this advanced acquisition design. We also detail and emphasize the estimation of the source signature for accurate and effective sweep deconvolution. vibrator reservoir characterization frequency-dependent spatial applied geoscience upstream oil & gas spatial signature geology marine vibrator...

... distribution of temperature-compensated strain, we identify distinct strain signatures corresponding to individual stages in the fracturing process and estimate fracture widths within the fracture zone. These findings demonstrate the effectiveness of distributed fiber optic sensing in monitoring the hydraulic...

... estimation algorithms indicates their incapability in response to annotator label uncertainty. To mitigate performance degradation, prior methods show that training models with labels collected from multiple independent annotators can enhance generalizability. However, they require massive annotations. Hence...

... of initial model (with or without), the technique of time shift estimation (cross-correlation maximization, sparsity maximization and time-shift inversion) and the inclusion of multi-shot information (surface-consistent constraint). A proof of concept is presented using a simple synthetic model...

... Machine learning (ML) applications have infiltrated geosciences, especially in wireline log estimations, interpretation of salt bodies, and fault definitions. Other applications such as seismic processing, automated first break picking, velocity analysis, and pre-stack inversions for rock...

... to propagate all input uncertainties for different rock types, mud types, and mud slowness profiles. The mud slowness uncertainties are estimated by applying different regressions of inverted mud slownesses and comparing these regressions to known values. A Monte Carlo approach is then used to propagate all...

... inversion geophysics operator constraint machine learning adversarial regularizer applied geoscience stanford university summary clapp geological subdiscipline international exploration geophysicist application adversarial regularization joseph stitt regularizer estimation american...

... repeatable sweeps, and our accurate notional source estimation method. We demonstrate that harmonics can significantly enhance the frequency band for imaging without requiring any additional processes, achieving the functionality of acting as an additional high-frequency source for imaging the shallow zones...

... summary preconditioner geological subdiscipline algorithm 1 estimation lorenzo casasanta upstream oil & gas reservoir characterization applied geoscience operator geologist linear operator dimension australia government american association international dataset energy 10 society...

... This research aims to investigate the challenge of subsurface illumination issues and artifacts in the velocity model estimation process caused by the limited number of shots in a circular shot ocean bottom node (OBN) survey. We suggest a workflow that could be used in reservoir characterization...

... marini geology application international estimation indicator maurizio ferla reservoir characterization exploration geophysicist american association downdip energy 10 upstream oil & gas regularized frequency instantaneous frequency attenuation geophysics equation Application...

... Estimation of shear wave velocity is a method to obtain shear wave velocity from P-wave velocity and physical parameters, such as porosity, water saturation and clay content. The accuracy of estimated shear wave velocity depends largely on the inversion algorithm. We proposed an adaptive step...

... We describe the second half of a new workflow, Bayesian Integrated Reservoir Characterization, or BIRCh (Paramo et al. 2023, Biswas et. al 2023, Walker et. al., 2023). The second half consists of Bayesian classification of Vp, Vs and density estimates from a Bayesian seismic inversion scheme...

... government sandstone reservoir machine learning equation international geophysics estimation pre-stack seismic probabilistic inversion seismic probabilistic inversion matrix american association simulation algorithm exploration geophysicist applied geoscience Estimation of reservoir...

... Accurate estimation of the spatiotemporal variation in soil saturation and salt concentration is valuable for calibrating and evaluating Earth system models as well as detecting important eco-hydrological interactions. Such representative models play a vital role in investigating the stability...

... applied encompassed five main processes, where several types of seismic anisotropy attributes were estimated, and subsequently evaluated by comparing with fracture information at several well locations. Mismatch in some intervals was addressed by incorporating stress estimations, as well as seismic data...